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市场调查报告书
商品编码
1776761
2032 年自动送货机器人市场预测:按机器人类型、组件、推进力、车轮数量、负载容量、应用、最终用户和地区进行的全球分析Autonomous Delivery Robots Market Forecasts to 2032 - Global Analysis By Robot Type, Component, Propulsion, Number of Wheel, Payload Capacity, Application, End User and By Geography |
根据 Stratistics MRC 的数据,全球自动送货机器人市场预计在 2025 年达到 48 亿美元,到 2032 年将达到 392 亿美元,预测期内的复合年增长率为 34.8%。
自动配送机器人是无人驾驶机器,旨在无需人工干预即可运输货物。这些机器人配备感测器、GPS 和机器学习演算法,能够在复杂环境中导航并遵循最佳化路线,实现高效配送。它们通常用于物流、零售和农业领域,以提高业务效率并降低人事费用。与智慧基础设施和即时数据系统的整合支援可扩展的非接触式配送解决方案。随着自动化程度的提高,自动配送机器人正成为最后一哩路和工厂内物流的重要组成部分。
《机器人与自主系统》杂誌发表的一项研究发现,与传统货车相比,自动送货机器人可以将最后一哩配送的碳排放减少高达 40%。同一项研究还发现,在人口稠密的都市区,它们可以将每个小包裹的配送成本降低约 20%。
与物联网和人工智慧平台无缝连接
自动配送机器人与物联网和人工智慧生态系统的融合,正在彻底改变「最后一哩路」物流。这些机器人利用即时数据流、云端基础分析和边缘运算来优化配送路线,并适应不断变化的城市环境。人工智慧演算法支援预测性维护、避障和自主决策,从而提高营运可靠性。物联网感测器有助于持续监测位置、有效载荷状态和环境条件。这种互联互通不仅提高了配送速度和准确性,还支援跨地域的可扩展车队协调。
有效负载容量有限且技术复杂
大多数车型专为轻型小包裹设计,限制了其在更广泛的物流应用中的使用。此外,雷射雷达、GPS和电脑视觉等导航系统非常复杂,需要高额的资本投入和专业的工程设计。这些技术要求可能会阻碍其在成本敏感市场的部署。此外,在各种地形和天气条件下保持一致的性能仍然是製造商面临的挑战。
开发可用于多种布局的可自订机器人
製造商正专注于可自订的底盘、车轮配置和货舱,以适应从密集的城市人行道到室内医院走廊等各种环境。这种灵活性使操作员能够根据特定使用案例自订机器人,例如食品配送、零售物流或医疗保健运输。即插即用组件和软体介面的进步也使机器人能够更快地部署并更轻鬆地与现有系统整合。
自动驾驶系统缺乏明确的标准
不同地区在人行道通行、限速和责任等方面的差异性规定,给製造商和营运商带来了合规挑战。这种分散化不仅会减慢产品部署速度,还会使跨国营运更加复杂。此外,不一致的安全通讯协定和资料隐私法规可能会损害公众信任,阻碍其广泛应用。建立全球性能、道德和互通性标准,对于充分发挥ADR的潜力至关重要。
新冠疫情加速了人们对非接触式配送解决方案的兴趣,将自主机器人定位为人类宅配的安全替代方案。封锁和维持社交距离的规定促使零售商和物流公司试行自动配送服务(ADR),尤其是在都市区和校园环境中。虽然最初的供应链中断影响了硬体可得性,但对能够最大程度减少人机互动的机器人的需求激增。向电子商务和远端医疗的转变进一步推动了食品服务和医疗保健等领域的采用。
半自动机器人市场预计将在预测期内成为最大的市场
半自动自主机器人领域预计将在预测期内占据最大的市场占有率,因为它在自动化和人工监督之间实现了平衡。这些机器人通常在远端监控下运行或遵循预先定义的路径,因此适用于医院、饭店和校园等受控环境。与全自动机器人相比,它们成本更低、架构更简单,对早期采用者更具吸引力。
预计在预测期内,混合能源采集领域将以最高的复合年增长率成长。
混合能源采集领域预计将在预测期内实现最高成长率。混合能源采集机器人结合使用太阳能电池板、再生煞车和动能係统,以延长电池寿命并减少对电网的依赖。永续物流和减少碳排放的驱动力,增加了人们对节能配送解决方案的兴趣。混合自动底盘转向系统 (ADR) 在充电基础设施有限的地区尤其有价值,因为它可以延长运行週期并降低维护成本。
在预测期内,北美预计将占据最大的市场占有率,这得益于其强大的技术基础设施和早期的监管措施。该地区拥有强大的机器人新兴企业生态系统、资金筹措以及创业投资、医疗保健和食品配送等领域的试验计画。旧金山、奥斯汀和多伦多等城市已经接受了人行道机器人,而亚马逊和联邦快递等主要参与者则继续投资自动驾驶物流。优惠的政策和消费者对自动化的开放态度正在巩固北美在ADR市场的主导地位。
预计北美在预测期内的复合年增长率最高。这是因为该地区对智慧城市、节省劳动力的技术和永续性的关注,正在推动ADR的快速部署。人工智慧、5G连接和车队管理平台的创新,使得城市和郊区的营运能够实现可扩展性。此外,科技公司与市政当局之间的伙伴关係正在简化监管途径,加速商业化进程。随着当日送达和非接触式服务需求的不断增长,北美仍然是ADR创新和扩张的中心。
According to Stratistics MRC, the Global Autonomous Delivery Robots Market is accounted for $4.8 billion in 2025 and is expected to reach $39.2 billion by 2032 growing at a CAGR of 34.8% during the forecast period. Autonomous delivery robots are self-operating machines designed to transport goods without human intervention. Equipped with sensors, GPS, and machine learning algorithms, these robots navigate complex environments and follow optimized routes for efficient delivery. Commonly used in logistics, retail, and agricultural settings, they enhance operational efficiency and reduce labor costs. Their integration with smart infrastructure and real-time data systems supports scalable, contactless delivery solutions. As automation advances, autonomous robots are becoming essential components in last-mile and intra-facility logistics.
According to a study in the journal Robotics and Autonomous Systems, autonomous delivery robots can reduce last-mile delivery carbon emissions by up to 40% compared to traditional vans. According to the same study, they also lower delivery costs per parcel by around 20% in densely populated urban areas.
Seamless connectivity with IoT and AI platforms
The integration of autonomous delivery robots with IoT and AI ecosystems is revolutionizing last-mile logistics. These robots leverage real-time data streams, cloud-based analytics, and edge computing to optimize delivery routes and adapt to dynamic urban environments. AI algorithms enable predictive maintenance, obstacle avoidance, and autonomous decision-making, enhancing operational reliability. IoT sensors facilitate continuous monitoring of location, payload status, and environmental conditions. This connectivity not only improves delivery speed and accuracy but also supports scalable fleet coordination across diverse geographies.
Limited payload capacity & technical complexity
Most models are designed for lightweight parcels, which restricts their use in broader logistics applications. Additionally, the complexity of navigation systems such as LiDAR, GPS, and computer vision requires high capital investment and specialized engineering. These technical demands can hinder deployment in cost-sensitive markets. Moreover, maintaining consistent performance across varied terrains and weather conditions remains a challenge for manufacturers.
Development of customizable robots for diverse layouts
Manufacturers are focusing on customizable chassis, wheel configurations, and cargo compartments to suit different environments ranging from dense city sidewalks to indoor hospital corridors. This flexibility allows operators to tailor robots for specific use cases such as food delivery, retail logistics, or healthcare transport. Advances in plug-and-play components and software interfaces are also enabling faster deployment and easier integration with existing systems.
Lack of clear standards for autonomous systems
Varying rules across regions regarding sidewalk access, speed limits, and liability create compliance challenges for manufacturers and operators. This fragmentation can delay product rollouts and complicate cross-border operations. Furthermore, inconsistent safety protocols and data privacy regulations may erode public trust and hinder adoption. Establishing global standards for performance, ethics, and interoperability is critical to unlocking the full potential of ADRs.
The COVID-19 pandemic accelerated interest in contactless delivery solutions, positioning autonomous robots as a safe alternative to human couriers. Lockdowns and social distancing mandates prompted retailers and logistics firms to pilot ADRs for doorstep deliveries, especially in urban and campus settings. While initial supply chain disruptions affected hardware availability, demand surged for robots capable of minimizing human interaction. The shift toward e-commerce and telehealth further boosted adoption in sectors like food service and healthcare.
The semi-autonomous robots segment is expected to be the largest during the forecast period
The semi-autonomous robots segment is expected to account for the largest market share during the forecast period due to their balance of automation and human oversight. These robots typically operate with remote supervision or follow predefined paths, making them suitable for controlled environments like hospitals, hotels, and campuses. Their lower cost and simpler architecture compared to fully autonomous models make them attractive for early adopters.
The hybrid energy harvesting segment is expected to have the highest CAGR during the forecast period
Over the forecast period, the hybrid energy harvesting segment is predicted to witness the highest growth rate because these robots utilize a combination of solar panels, regenerative braking, and kinetic energy systems to extend battery life and reduce reliance on grid power. The push for sustainable logistics and reduced carbon emissions is driving interest in energy-efficient delivery solutions. Hybrid-powered ADRs are particularly valuable in regions with limited charging infrastructure, enabling longer operational cycles and lower maintenance costs.
During the forecast period, the North America region is expected to hold the largest market share supported by strong technological infrastructure and early regulatory adoption. The region boasts a robust ecosystem of robotics startups, venture capital funding, and pilot programs across retail, healthcare, and food delivery. Cities like San Francisco, Austin, and Toronto have embraced sidewalk robots, while major players such as Amazon and FedEx continue to invest in autonomous logistics. Favorable policies and consumer openness to automation are reinforcing North America's dominance in the ADR landscape.
Over the forecast period, the North America region is anticipated to exhibit the highest CAGR owing to the region's emphasis on smart cities, labor-saving technologies, and sustainability is driving rapid deployment of ADRs. Innovations in AI, 5G connectivity, and fleet management platforms are enabling scalable operations across urban and suburban zones. Moreover, partnerships between tech firms and municipal governments are streamlining regulatory pathways, accelerating commercialization. As demand for same-day delivery and contactless services grows, North America remains the epicenter of ADR innovation and expansion.
Key players in the market
Some of the key players in Autonomous Delivery Robots Market include Alibaba, Boxbot, Cartken, Cleveron Mobility, Eliport, JD Logistics, Kiwibot, Ottonomy.IO, Panasonic Holdings, Postmate, Relay Robotics, Robomart, Segway Robotics, Serve Robotics, Starship Technologies, TeleRetail, Yandex Rover and Zipline.
In June 2025, Foodora and Starship Technologies continue to innovate the last-mile experience with the expansion of their autonomous robot delivery fleet. Starting today, the service opens to an additional 13,000 households in the Stockholm region of Solna.
In June 2025, JD Logistics (2618.HK), opens new tab announced the launch of JoyExpress in Saudi Arabia, marking the first time the logistics arm of Chinese e-commerce giant JD.com (9618.HK), opens new tab will operate its own consumer-focused express delivery service abroad.
In April 2025, Walmart has partnered with Zipline, a San Francisco-based company specializing in drone deliveries for health care supplies, restaurants, and groceries. Walmart is joining Zipline's other food-focused partners, which already include Jet's Pizza, Panera, and Sweetgreen.
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.